TWI866265B - Cell selection method - Google Patents
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Abstract
Description
本發明是有關於一種無線通訊技術,且特別是有關於一種細胞選擇方法。The present invention relates to a wireless communication technology, and in particular to a cell selection method.
終端裝置(例如手機)在開機後會嘗試著連接上網路,而在連接過程中,會先量測附近可偵測到的細胞(Cells)(或稱基地台)的訊號資訊,並取其中較適合的細胞進行連接。這個過程稱為細胞選擇(Cell Selection)。After turning on, the terminal device (such as a mobile phone) will try to connect to the Internet. During the connection process, it will first measure the signal information of nearby detectable cells (or base stations) and select the most suitable cell for connection. This process is called cell selection.
在連接上網路後,終端裝置仍會持續觀察網路狀態,以適時再次進行細胞選擇的操作,而此過程稱為細胞重選(Cell Reselection)。After connecting to the network, the terminal device will continue to monitor the network status and perform cell selection again when appropriate. This process is called cell reselection.
根據相關通訊標準(例如,3GPP TS 38.304)的內容,可以得知終端裝置在進行細胞選擇或細胞重選的過程中,都是根據訊號強度(例如3GPP TS 38.304中定義的SrxLev參數)與訊號品質(例如3GPP TS 38.304中定義的Squal參數),以及搭配頻率優先級(frequency priorities)或無線技術優先級(radio access technology (RAT_ priorities)來選擇適合的細胞(suitable cell),再進行連接。According to the contents of relevant communication standards (e.g., 3GPP TS 38.304), it can be known that during the process of cell selection or cell reselection, the terminal device selects a suitable cell based on signal strength (e.g., the SrxLev parameter defined in 3GPP TS 38.304) and signal quality (e.g., the Squal parameter defined in 3GPP TS 38.304), as well as frequency priorities or radio access technology priorities (RAT_ priorities), and then connects.
然而,此種選擇方式雖然可以讓終端裝置選擇到訊號強度高且訊號品質良好的服務細胞(serving cell),但是終端裝置卻不一定能夠體驗到良好的服務品質。However, although this selection method allows the terminal device to select a serving cell with high signal strength and good signal quality, the terminal device may not necessarily experience good service quality.
舉例而言,當某個細胞已因某些原因(例如服務過多終端裝置)而出現網路壅塞的情形時,即可能讓其所服務的終端裝置在訊號強度高且訊號品質良好的情況下,體驗到較低的數據傳輸速度。For example, when a cell is congested for some reason (such as serving too many end devices), the end devices it serves may experience lower data transmission speeds even when the signal strength and signal quality are high.
有鑑於此,本發明提供一種細胞選擇方法,其可用於解決上述技術問題。In view of this, the present invention provides a cell selection method, which can be used to solve the above technical problems.
本發明實施例提供一種細胞選擇方法,適於一終端裝置,包括:在對多個參考基地台執行一細胞選擇操作時,取得各參考基地台對應的一訊號指標及一網路壅塞指標;以及基於各參考基地台對應的訊號指標及網路壅塞指標從所述多個參考基地台中選擇一服務基地台。The embodiment of the present invention provides a cell selection method suitable for a terminal device, including: when performing a cell selection operation on multiple reference base stations, obtaining a signal indicator and a network congestion indicator corresponding to each reference base station; and selecting a service base station from the multiple reference base stations based on the signal indicator and network congestion indicator corresponding to each reference base station.
本發明實施例提供一種細胞選擇方法,適於一基地台,包括:提供基地台對應的一訊號指標及一網路壅塞指標予一終端裝置,其中基地台對應的訊號指標及網路壅塞指標允許終端裝置執行一細胞選擇操作。The embodiment of the present invention provides a cell selection method suitable for a base station, including: providing a signal indicator and a network congestion indicator corresponding to the base station to a terminal device, wherein the signal indicator and the network congestion indicator corresponding to the base station allow the terminal device to perform a cell selection operation.
請參照圖1,其是依據本發明之一實施例繪示的通訊系統示意圖。在圖1中,通訊系統10包括終端裝置11及基地台12。Please refer to FIG. 1 , which is a schematic diagram of a communication system according to an embodiment of the present invention. In FIG. 1 , a
在不同的實施例中,終端裝置11可代表用戶設備(user equipment,UE)、移動台(mobile station)、高級移動台(advanced mobile station,AMS)、或無線終端通信裝置。另外,終端裝置11可以為手機、智慧型手機、個人電腦(personal computer,PC)、筆記型電腦(notebook PC)、網本型電腦(netbook PC)、平板電腦(tablet PC)、電視機、機頂盒(set-top-box)、無線資料數據機(wireless data modem)、遊戲機(game console)、可擕式裝置、或可擕式多媒體播放器(portable multimedia player)等。In different embodiments, the
在不同的實施例中,基地台12例如是無線網路存取點、增強節點B(enhanced node B,eNodeB)、進階基地台(advanced base station,ABS)、巨型蜂巢式基地台(macro-cell base station)、微型蜂巢式基地台(pico-cell base station)或遠端射頻頭(remote radio head,RRH)、gNodeB(gNB)等,但可不限於此。In different embodiments, the
如圖1所示,終端裝置11包括通訊電路112及處理器114。在一實施例中,通訊電路12可藉由至少包括傳送器電路、接收器電路、類比轉數位(analog-to-digital,A/D)轉換器、數位轉類比(digital-to-analog,D/A)轉換器、低雜訊放大器(low noise amplifier,LNA)、混波器、濾波器、匹配電路、傳輸線、功率放大器(power amplifier,PA)、一或多個天線單元及本地儲存媒體等元件,來為終端裝置11提供無線存取的功能。As shown in FIG1 , the
在一些實施例中,通訊電路112可以是如協定單元的組件,其可支援各式無線網路通訊協定,例如WiFi HaLow等。在其他實施例中,通訊電路112亦可支援全域移動通信系統(global system for mobile communication,GSM)、個人手持電話系統(personal handy-phone system,PHS)、分碼多重存取(code division multiple access,CDMA)系統、無線保真(wireless fidelity,Wi-Fi)系統或全球互通微波存取(worldwide interoperability for microwave access,WiMAX)的信號傳輸,但可不限於此。In some embodiments, the
另外,處理器114耦接於通訊電路112,並可為一般用途處理器、特殊用途處理器、傳統的處理器、數位訊號處理器、多個微處理器(microprocessor)、一個或多個結合數位訊號處理器核心的微處理器、控制器、微控制器、特殊應用積體電路(Application Specific Integrated Circuit,ASIC)、現場可程式閘陣列電路(Field Programmable Gate Array,FPGA)、任何其他種類的積體電路、狀態機、基於進階精簡指令集機器(Advanced RISC Machine,ARM)的處理器以及類似品。In addition, the
如圖1所示,基地台12包括通訊電路122及處理器124,而其個別的可能的實施方式可參考通訊電路112及處理器114,於此不另贅述。As shown in FIG. 1 , the
在本發明的實施例中,終端裝置11及基地台12可協同運作以實現本發明提出的細胞選擇方法,其細節詳述如下。In an embodiment of the present invention, the
請參照圖2,其是依據本發明之一實施例繪示的細胞選擇方法流程圖。本實施例的方法可由圖1的終端裝置11及基地台12執行,以下即搭配圖1所示的元件說明圖2各步驟的細節。Please refer to FIG. 2, which is a flow chart of a cell selection method according to an embodiment of the present invention. The method of this embodiment can be executed by the
在步驟S222中,基地台12提供基地台12對應的訊號指標及網路壅塞指標予終端裝置11。In step S222 , the
在一實施例中,基地台12對應的訊號指標包括訊號強度(例如SrxLev參數)及訊號品質(例如Squal參數)。另外,基地台12對應的網路壅塞指標可包括基地台12判定的用戶網路吞吐量。在一實施例中,基地台12的用戶網路吞吐量例如是基地台12所判定的用戶感知網路吞吐量(User-perceived IP throughput),但可不限於此。In one embodiment, the signal indicator corresponding to the
在不同的實施例中,基地台12例如可以其所服務的全部終端裝置的用戶感知網路吞吐量的統計值(例如平均值)作為對應的用戶網路吞吐量,但可不限於此。In different embodiments, the
在第一實施例中,基地台12的用戶網路吞吐量例如是基地台12判定的當下用戶網路吞吐量。舉例而言,假設基地台12在第t個時間點(t為時間索引)判定的用戶網路吞吐量為某個數值,則基地台12可將此數值作為當下用戶網路吞吐量(以
表示),並將
提供予終端裝置11。
In the first embodiment, the user network throughput of the
在第二實施例中,基地台12的用戶網路吞吐量例如是基地台12預測的未來用戶網路吞吐量。舉例而言,假設當下的時間點為第t個時間點,則所述未來用戶網路吞吐量例如是對應於更晚時間點的用戶網路吞吐量。為便於說明,以下假設所述未來用戶網路吞吐量對應於第t+1個時間點,但其僅用於舉例,並非用以限定本發明可能的實施方式。In the second embodiment, the user network throughput of the
在第二實施例中,基地台12可將至少一歷史用戶網路吞吐量饋入預測模型(以M表示),其中預測模型M可因應於上述歷史用戶網路吞吐量而預測未來用戶網路吞吐量(以
表示)。
In a second embodiment, the
在第二實施例的第一變化例中,預測模型M可包括長短期記憶模型。在此情況下,未來用戶網路吞吐量 可表徵為: (1) ,其中 為上述歷史用戶網路吞吐量,L為時間窗口, 為所述長短期記憶模型。 In a first variation of the second embodiment, the prediction model M may include a long short-term memory model. In this case, the future user network throughput It can be represented by: (1) , where is the above historical user network throughput, L is the time window, is the long short-term memory model.
由式(1)可看出,預測模型M可因應於L+1個歷史用戶網路吞吐量(即, )而預測對應的網路吞吐量作為未來用戶網路吞吐量 ,但可不限於此。 From equation (1), we can see that the prediction model M can be used to predict the network throughput of L+1 historical users (i.e., ) and predict the corresponding network throughput as the future user network throughput , but is not limited to this.
在第二實施例的第二變化例中,預測模型M可包括迴歸模型。在此情況下,未來用戶網路吞吐量 可表徵為: (2) ,其中 為隨機誤差值, 為常數, 為迴歸係數。在一實施例中, 例如是平均值為0,標準差為σ的高斯隨機變數,但可不限於此。 In a second variation of the second embodiment, the prediction model M may include a regression model. In this case, the future user network throughput It can be represented by: (2) , where is the random error value, is a constant, is the regression coefficient. In one embodiment, For example, it is a Gaussian random variable with a mean of 0 and a standard deviation of σ, but it is not limited to this.
相應地,在步驟S212中,在對多個參考基地台(其例如包括基地台12)執行細胞選擇操作時,終端裝置11取得各參考基地台對應的訊號指標及網路壅塞指標。Accordingly, in step S212, when performing a cell selection operation on a plurality of reference base stations (including the
在本發明的實施例中,所述多個參考基地台例如是用於管理終端裝置11當下所屬細胞的基地台(其例如是終端裝置11當下的服務基地台),或是用於管理終端裝置11的鄰近細胞的基地台,但可不限於此。In the embodiment of the present invention, the multiple reference base stations are, for example, base stations used to manage the cell to which the
在此情況下,各參考基地台對應的訊號指標包括訊號強度(例如SrxLev參數)及訊號品質(例如Squal參數),且各參考基地台對應的網路壅塞指標包括各參考基地台判定的用戶網路吞吐量(例如第一實施例中的當下用戶網路吞吐量 及/或第二實施例中的未來用戶網路吞吐量 )。 In this case, the signal indicators corresponding to each reference base station include signal strength (e.g., SrxLev parameter) and signal quality (e.g., Squal parameter), and the network congestion indicators corresponding to each reference base station include the user network throughput determined by each reference base station (e.g., the current user network throughput in the first embodiment). and/or the future user network throughput in the second embodiment ).
在一實施例中,處於閒置狀態(例如RRC_IDLE狀態)或不活躍狀態(例如RRC_INACTIVE狀態)的終端裝置11可從當下的服務基地台取得頻率內細胞(intra-frequency cells)、跨頻率細胞(inter-frequency cells)、跨RAT細胞(inter-RAT cells)等資訊,並據以進行細胞選擇操作。In one embodiment, the
在本發明的實施例中,所稱的細胞選擇操作可廣泛地理解為亦包括細胞重選操作,但可不限於此。In the embodiments of the present invention, the so-called cell selection operation can be broadly understood to also include cell reselection operation, but is not limited thereto.
接著,在步驟S214中,終端裝置11基於各參考基地台對應的訊號指標及網路壅塞指標從參考基地台中選擇服務基地台。Next, in step S214, the
在一實施例中,終端裝置11可基於各參考基地台對應的訊號指標從參考基地台中找出至少一候選基地台,其中各候選基地台對應的訊號指標滿足預設條件。In one embodiment, the
在一實施例中,對於參考基地台中的其中之一(下稱第一參考基地台)而言,終端裝置11可判斷第一參考基地台對應的訊號強度是否不低於訊號強度門限值(例如0dB)且第一參考基地台對應的訊號品質是否不低於訊號品質門限值(例如0dB),以判斷第一參考基地台是否屬於上述候選基地台。In one embodiment, for one of the reference base stations (hereinafter referred to as the first reference base station), the
反應於判定第一參考基地台對應的訊號強度不低於一訊號強度門限值且第一參考基地台對應的訊號品質不低於一訊號品質門限值,終端裝置11可判定第一參考基地台對應的訊號指標滿足預設條件。另一方面,反應於判定第一參考基地台對應的訊號強度低於訊號強度門限值或第一參考基地台對應的訊號品質低於訊號品質門限值,終端裝置11可判定第一參考基地台對應的訊號指標未滿足預設條件,但可不限於此。In response to determining that the signal strength corresponding to the first reference base station is not less than a signal strength threshold and the signal quality corresponding to the first reference base station is not less than a signal quality threshold, the
簡言之,終端裝置11可在參考裝置中找出訊號強度不低於訊號強度門限值且訊號品質不低於訊號品質門限值的一或多者作為上述候選基地台,但可不限於此。In short, the
之後,終端裝置11可基於各候選基地台對應的網路壅塞指標在上述候選基地台中選擇服務基地台。Afterwards, the
在一實施例中,終端裝置11例如可在上述候選基地台中具有最高用戶網路吞吐量的一或多者作為服務基地台,但可不限於此。舉例而言,假設基地台12除了滿足上述預設條件之外,還是具有最高用戶網路吞吐量的候選基地台,則終端裝置11例如可選擇基地台12作為服務基地台,但可不限於此。In one embodiment, the
之後,終端裝置11即可相應地對所選的服務基地台(例如基地台12)進行後續的連接程序(例如隨機存取程序)來連接至所選的服務基地台,但可不限於此。Afterwards, the
綜上所述,本發明提出的方法可讓終端裝置選到具較佳訊號強度、訊號品質及網路壅塞指標(例如最高用戶網路吞吐量)的基地台作為服務基地台,從而避免選擇到較為壅塞的基地台作為服務基地台。藉此,可讓終端裝置在執行細胞選擇操作之後體驗到較佳的數據傳輸速度,進而改善用戶體驗。In summary, the method proposed by the present invention allows the terminal device to select a base station with better signal strength, signal quality and network congestion indicators (such as the highest user network throughput) as a service base station, thereby avoiding selecting a base station with more congestion as a service base station. In this way, the terminal device can experience a better data transmission speed after performing the cell selection operation, thereby improving the user experience.
雖然本發明已以實施例揭露如上,然其並非用以限定本發明,任何所屬技術領域中具有通常知識者,在不脫離本發明的精神和範圍內,當可作些許的更動與潤飾,故本發明的保護範圍當視後附的申請專利範圍所界定者為準。Although the present invention has been disclosed as above by the embodiments, they are not intended to limit the present invention. Any person with ordinary knowledge in the relevant technical field can make some changes and modifications without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention shall be defined by the scope of the attached patent application.
10:通訊系統
11:終端裝置
112, 122:通訊電路
114, 124:處理器
12:基地台
S212~S214, S222:步驟
10: Communication system
11:
圖1是依據本發明之一實施例繪示的通訊系統示意圖。 圖2是依據本發明之一實施例繪示的細胞選擇方法流程圖。 FIG. 1 is a schematic diagram of a communication system according to an embodiment of the present invention. FIG. 2 is a flow chart of a cell selection method according to an embodiment of the present invention.
11:終端裝置 11: Terminal device
12:基地台 12: Base station
S212~S214,S222:步驟 S212~S214,S222: Steps
Claims (14)
Priority Applications (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW112121327A TWI866265B (en) | 2023-06-07 | 2023-06-07 | Cell selection method |
CN202310752255.2A CN119110376A (en) | 2023-06-07 | 2023-06-25 | Cell selection method |
US18/347,590 US20240414640A1 (en) | 2023-06-07 | 2023-07-06 | Cell selection method |
EP23190194.3A EP4475600A1 (en) | 2023-06-07 | 2023-08-08 | Cell selection method |
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TW201618573A (en) * | 2014-11-04 | 2016-05-16 | 宏碁股份有限公司 | Method of handling cell reselection |
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US20060140117A1 (en) * | 2004-12-29 | 2006-06-29 | Naveen Aerrabotu | Apparatus and method for cell selection |
JP2013080986A (en) | 2010-02-12 | 2013-05-02 | Mitsubishi Electric Corp | Mobile communication system |
EP2727405B1 (en) * | 2011-06-29 | 2015-04-01 | Telefonaktiebolaget LM Ericsson (publ) | Methods and apparatuses for cell evaluation |
ES2440170B1 (en) * | 2012-07-27 | 2015-03-11 | Telefonica Sa | METHOD FOR IMPLEMENTING A BALANCED LOAD BALANCING MECHANISM IN WIRELESS NETWORKS |
TWI580227B (en) | 2015-06-17 | 2017-04-21 | 財團法人工業技術研究院 | Routing gateway selecting method, controller and vehicles network system |
JP2017046095A (en) | 2015-08-25 | 2017-03-02 | 日本電気株式会社 | Access point control method, access point, and program |
KR102509073B1 (en) * | 2018-08-03 | 2023-03-13 | 삼성전자주식회사 | Method and apparatus for data communicating in a wireless communication system |
JP7302733B2 (en) | 2020-03-02 | 2023-07-04 | 日本電信電話株式会社 | Wireless communication method, wireless communication system, quality prediction engine, wireless terminal device and program |
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US9049554B2 (en) * | 2008-01-14 | 2015-06-02 | Blackberry Limited | Dynamic prioritization of label downloads |
TW201436603A (en) * | 2013-03-06 | 2014-09-16 | Acer Inc | Method of handling selections of base stations related communication device |
TWI549537B (en) * | 2013-03-06 | 2016-09-11 | 宏碁股份有限公司 | Method of handling selections of base stations related communication device |
TW201618573A (en) * | 2014-11-04 | 2016-05-16 | 宏碁股份有限公司 | Method of handling cell reselection |
TWI583217B (en) * | 2014-11-04 | 2017-05-11 | 宏碁股份有限公司 | Method of handling cell reselection |
US20230138578A1 (en) * | 2016-12-30 | 2023-05-04 | Intel Corporation | Methods and devices for radio communications |
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